Wavelet denoising for multi-lead high resolution ECG signals

6th International Conference on Measurement, MEASUREMENT 2007 - Proceedings

Volumn , Issue , 2007, Pages 400-403

  Kania, M ^a   Fereniec, M ^a   Maniewski, R ^a  

^a INSTITUTE OF BIOCYBERNETICS AND BIOMEDICAL ENGINEERING   (Poland)

Author keywords

High resolution ECG; Signal processing; Wavelet denoising

Indexed keywords

DE-NOISING; DECOMPOSITION LEVEL; DENOISING METHODS; ECG SIGNALS; FAST WAVELET TRANSFORM; HIGH RESOLUTION; HIGH RESOLUTION ECG SIGNALS; MULTI-CHANNEL; NOISE LEVELS; WAVELET DENOISING; WAVELET FUNCTION;

ELECTROCARDIOGRAPHY; SIGNAL PROCESSING;

SIGNAL DENOISING;

EID: 84872926105     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. Mallat S.: A theory for multiresolution signal decomposition: the wavelet representation. IEEE Pattern Anal, and Machine Intel., 1989, Vol. 11, no. 7, pp. 674-693.
3. Donoho D., Johnstone I.: Adapting to unknown smoothness via wavelet shrinkage. J. ASA, 1995, Vol. 90, pp. 1200-1223.
4. Donoho D. L.: De-Noising by soft-thresholding. IEEE Trans, on Inf. Theory, 1995, Vol. 41, 3, pp. 613-627.
5. Daubechies I.: Ten lectures on wavelets, SIAM, Philadelphia, 1992.
6. Chouakri SA, Bereksi-Reguig F.: Wavelet denoising of the electrocardiogram signal based on the corrupted noise estimation. Computers in Cardiology, 2005, 32: 1021-1024